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Validate with 2x --workers single-GPU/CPU fix (#6659)
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Fix for #6658 for single-GPU and CPU training use cases
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glenn-jocher authored Feb 16, 2022
1 parent 6769021 commit 1ff4370
Showing 1 changed file with 1 addition and 1 deletion.
2 changes: 1 addition & 1 deletion utils/datasets.py
Original file line number Diff line number Diff line change
Expand Up @@ -110,7 +110,7 @@ def create_dataloader(path, imgsz, batch_size, stride, single_cls=False, hyp=Non

batch_size = min(batch_size, len(dataset))
nd = torch.cuda.device_count() # number of CUDA devices
nw = min([2 * os.cpu_count() // max(nd, 1), batch_size if batch_size > 1 else 0, workers]) # number of workers
nw = min([os.cpu_count() // max(nd / 2, 1), batch_size if batch_size > 1 else 0, workers]) # number of workers
sampler = None if rank == -1 else distributed.DistributedSampler(dataset, shuffle=shuffle)
loader = DataLoader if image_weights else InfiniteDataLoader # only DataLoader allows for attribute updates
return loader(dataset,
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